What is the difference between double and float in floating point accuracy?
What is the difference between double and float in floating point accuracy?
I completed my post-graduation in 2013 in the engineering field. Engineering is the application of science and math to solve problems. Engineers figure out how things work and find practical uses for scientific discoveries. Scientists and inventors often get the credit for innovations that advance the human condition, but it is engineers who are instrumental in making those innovations available to the world. I love pet animals such as dogs, cats, etc.
Aryan Kumar
19-Aug-2023The main difference between double and float point accuracy is the number of digits that can be represented. A double has 15 to 17 significant digits of precision, while a float has 7 to 9 significant digits of precision. This means that a double can represent numbers more accurately than a float.
Here is a table summarizing the difference between double and float point accuracy:
For example, the double value 1.2345678901234567 has 17 significant digits, while the float value 1.234567890123456 has only 9 significant digits. This means that the double value can represent the number 1.2345678901234567 more accurately than the float value.
In general, you should use a double when you need to represent numbers with high precision. You should use a float when you need to represent numbers with less precision or when you are limited by memory constraints.
Here are some examples of when you should use a double:
Here are some examples of when you should use a float: